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| Section | Objectives |
|---|---|
| Container Orchestration | - Container lifecycle and scheduling
|
| Kubernetes Fundamentals | - Core Kubernetes concepts
|
| Cloud Native Architecture | - Microservices and distributed systems
|
| Cloud Native Observability | - Monitoring and logging
|
| Cloud Native Application Delivery | - CI/CD and deployment strategies
|
| Cloud Security and Governance | - Security fundamentals in cloud native systems
|
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NEW QUESTION # 97
Which control plane component is responsible for scheduling pods?
Answer: D
Explanation:
https://kubernetes.io/docs/concepts/overview/components/
NEW QUESTION # 98
In a cloud native environment, who is usually responsible for maintaining the workloads running across the different platforms?
Answer: A
Explanation:
B (the Site Reliability Engineering team) is correct. In cloud-native organizations, SREs are commonly responsible for the reliability, availability, and operational health of workloads across platforms (multiple clusters, regions, clouds, and supporting services). While responsibilities vary by company, the classic SRE charter is to apply software engineering to operations: build automation, standardize runbooks, manage incident response, define SLOs/SLIs, and continuously improve system reliability.
Maintaining workloads "across different platforms" implies cross-cutting operational ownership: deployments need to behave consistently, rollouts must be safe, monitoring and alerting must be uniform, and incident practices must work across environments. SRE teams typically own or heavily influence the observability stack (metrics/logs/traces), operational readiness, capacity planning, and reliability guardrails (error budgets, progressive delivery, automated rollback triggers). They also collaborate closely with platform engineering and application teams, but SRE is often the group that ensures production workloads meet reliability targets.
Why other options are less correct:
The cloud provider (A) maintains the underlying cloud services, but not your application workloads' correctness, SLOs, or operational processes.
Developers (C) do maintain application code and may own on-call in some models, but the question asks "usually" in cloud-native environments; SRE is the widely recognized function for workload reliability across platforms.
Support Engineering (D) typically focuses on customer support and troubleshooting from a user perspective, not maintaining platform workload reliability at scale.
So, the best and verified answer is B: SRE teams commonly maintain and ensure reliability of workloads across cloud-native platforms.
NEW QUESTION # 99
In Kubernetes, what is the primary responsibility of the kubelet running on each worker node?
Answer: D
Explanation:
The kubelet is the node-level agent responsible for ensuring that the containers described in Pod specifications are created, running, and kept in a healthy state on each worker node.
NEW QUESTION # 100
Which two elements are shared between containers in the same pod?
Answer: D
Explanation:
The correct answer is C: Storage and network resources. In Kubernetes, a Pod is the smallest schedulable unit and acts like a "logical host" for its containers. Containers inside the same Pod share a number of namespaces and resources, most notably:
Network: all containers in a Pod share the same network namespace, which means they share a single Pod IP address and the same port space. They can talk to each other via localhost and coordinate tightly without exposing separate network endpoints.
Storage: containers in a Pod can share data through Pod volumes. Volumes (like emptyDir, ConfigMap/Secret volumes, or PVC-backed volumes) are defined at the Pod level and can be mounted into multiple containers within the Pod. This enables common patterns like a sidecar writing logs to a shared volume that the main container generates, or an init/sidecar container producing configuration or certificates for the main container.
Why other options are wrong: liveness probes (A) are defined per container (or per Pod template) but are not a "shared" resource between containers. A container image registry (B) is an external system and not a shared in-Pod element. Dockerfiles (D) are build-time artifacts, irrelevant at runtime, and not shared resources.
This question is a classic test of Pod fundamentals: multi-container Pods work precisely because they share networking and volumes. This is also why the sidecar pattern is feasible-sidecars can intercept traffic on localhost, export metrics, or ship logs while sharing the same lifecycle boundary and scheduling placement.
Therefore, the verified correct choice is C.
NEW QUESTION # 101
Which of the following options include resources cleaned by the Kubernetes garbage collection mechanism?
Answer: D
Explanation:
Kubernetes garbage collection cleans up terminated pods, completed jobs, and objects that no longer have owner references to free cluster resources automatically.
NEW QUESTION # 102
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